A Framework for Understanding the Interdependencies between Mass Customization and Complexity

Mass customization is a business strategy that aims at satisfying individual customer needs, nearly with mass production efficiency. It induces a high complexity level because of various customer requirements and a steadily changing environment. However, mass customization has some potential to reduce complexity. The interdependencies between mass customization and complexity are discussed in order to demonstrate that mass customization is not just an oxymoron linking two opposite production concepts, but a business strategy that contributes towards reaching a competitive advantage. On the one hand, mass customization increases the production program, manufacturing and configuration complexities. On the other hand, it contributes to reduce complexity at the levels of order taking process, product and inventories. The main results attained through the analysis are integrated in a comprehensive framework that shows the complexity increasing and complexity decreasing aspects due to mass customization.Mass Customization; Complexity Management; Product Variety

Mass Customization vs. Complexity: A Gordian Knot?

Mass customization is a business strategy that aims at satisfying individual customer needs, nearly with mass production efficiency. It induces a high complexity level because of various customer requirements and a steadily changing environment. However, mass customization has some potential to reduce complexity. These interdependencies between mass customization and complexity form a Gordian knot that should be cut in order to point out that mass customization is not just an oxymoron linking two opposite production concepts, but a business strategy that contributes towards reaching a competitive advantage. On the one hand, mass customization increases the production program, manufacturing and configuration complexities. On the other hand, mass customization can contribute to reduce complexity at the levels of order taking process, product and inventories. The main results attained through the analysis are integrated in a comprehensive framework that shows the complexity increasing and complexity decreasing aspects due to mass customization.complexity; mass customization

The Future of Retail Operations

Retailing consists of all the activities associated with the selling of goods to the final consumer. In this article, we review the research on retail operations published in Manufacturing & Service Operations Research (M&SOM) since 1999. We then discuss the current retail landscape and the new research directions it offers, in which M&SOM can play a prominent role

On fit uncertainty-reducing interventions in retail supply chains

Fit uncertainty is used in this doctoral thesis to describe the customer’s experience of uncertainty about the physical fit of a product when shopping for experience goods. Experience goods are products whose attributes are difficult to ascertain without physical examination. In online retailing, the ability to provide experiential fit information is limited, which poses product flow and inventory challenges for supply chains, including product returns, lost sales, and obsolescence. Thus, product fitting is a critical pre-sales activity for customers to successfully purchase fit-dependent products, and retailers must facilitate the fitting activity in order to reduce unnecessary product handling. To foster improved performance for retail supply chains of experience goods subject to fit uncertainty, this doctoral thesis sets out to explore the effects of fit uncertainty and fit uncertainty-reducing interventions on retail supply chain performance. Fit uncertainty-reducing interventions consist of existing digital product fitting and recommendation technologies. The research designs are included in the five appended research papers. Paper I uses a case survey of retail practices to develop a maturity model of digitalization of product fitting, and it proposes supply chain effects for each of the three maturity levels. Paper II uses three cases, design science, and interventionist research to conceptualize digital product fitting as an intervention that improves product flow and reduces lost sales in retail supply chains for experience goods. Paper III uses case research, quantitative analysis of return transactions, test of an intervention, and mathematical modeling to calculate product return costs associated with fit uncertainty in online retailing. Paper IV uses order and return transactions to investigate how online customers shopping for experience goods seek to mitigate fit uncertainty through different order-placing behaviors, and it assesses the cost implications of the behaviors. Paper V uses order and return transactions to explore the effects of an online apparel-fitting intervention on order performance outcomes and fit uncertainty-mitigating ordering tactics. This thesis theorizes fit uncertainty-reducing interventions. The use of these interventions to facilitate the product-fitting activity can reduce fit uncertainty, leading to many benefits for the retail supply chain in terms of product flow, such as fewer returns and more sales. This thesis contributes to previous research on end-customer behaviors by focusing on order and return behaviors associated with fit uncertainty. The quantification of existent order and return behaviors is an important theoretical contribution to our understanding of the direct effects of fit uncertainty on retail supply chain performance. This thesis theoretically contributes to returns management and to inventory and assortment planning management; its practical contribution supports retail supply chains of experience goods that are reconsidering how they handle fit uncertainty and the unwanted effects thereof. This thesis provides hands-on knowledge on how the interventions work in real life and how they improve retail supply chain performance. Studying the link between fit uncertainty and retail supply chain performance is important for retailers and manufacturers\u27 understanding of end-customer behavior and for improving product development and assortment planning to ensure availability of products that fit

Energy and Carbon Dioxide Impacts from Lean Logistics and Retailing Systems: A Discrete-event Simulation Approach for the Consumer Goods Industry

abstract: Consumer goods supply chains have gradually incorporated lean manufacturing principles to identify and reduce non-value-added activities. Companies implementing lean practices have experienced improvements in cost, quality, and demand responsiveness. However certain elements of these practices, especially those related to transportation and distribution may have detrimental impact on the environment. This study asks: What impact do current best practices in lean logistics and retailing have on environmental performance? The research hypothesis of this dissertation establishes that lean distribution of durable and consumable goods can result in an increased amount of carbon dioxide emissions, leading to climate change and natural resource depletion impacts, while lean retailing operations can reduce carbon emissions. Distribution and retailing phases of the life cycle are characterized in a two-echelon supply chain discrete-event simulation modeled after current operations from leading organizations based in the U.S. Southwest. By conducting an overview of critical sustainability issues and their relationship with consumer products, it is possible to address the environmental implications of lean logistics and retailing operations. Provided the waste reduction nature from lean manufacturing, four lean best practices are examined in detail in order to formulate specific research propositions. These propositions are integrated into an experimental design linking annual carbon dioxide equivalent emissions to: (1) shipment frequency between supply chain partners, (2) proximity between decoupling point of products and final customers, (3) inventory turns at the warehousing level, and (4) degree of supplier integration. All propositions are tested through the use of the simulation model. Results confirmed the four research propositions. Furthermore, they suggest synergy between product shipment frequency among supply chain partners and product management due to lean retailing practices. In addition, the study confirms prior research speculations about the potential carbon intensity from transportation operations subject to lean principles.Dissertation/ThesisPh.D. Sustainability 201

Evaluating the impact of adopting 3d printing services on the retailers

As additive manufacturing technology becomes more responsive to consumers’ demand, one important question for the retailers is whether they should provide 3D printing services in their brick-and-mortar store in addition to the traditional off-the-shelf product? If so, what should be the retailers pricing scheme to achieve a higher profit? What should be the optimal inventory level of off-the-shelf products? What is the optimal capacity of 3D printers? In this study, stochastic models are examined to capture the joint optimal 3D product price and capacity of 3D printers to maximize retailer’s expected profit while considering consumer product choices. Moreover, a stochastic model is developed to capture joint optimal pre-made inventory level and 3D product price to maximize retailer’s expected profit considering 3D services are offered in the off-the-shelf stock-out situations as a one-way substitution. Utilizing the Markov Decision Process, a framework for queuing systems is developed to examine the performance of various production/inventory strategies that optimize the system’s performance. Here, four strategies are developed: (i) providing only off-the-shelf products, (ii) providing only 3D printed products, (iii) substituting the shortage of the off-the-shelf products by 3D printed products, and (iv) providing consumers the options of selecting either the off-the-shelf product or the customized product produced by additive manufacturing. In essence, this approach assists decision makers in both capacity planning and inventory management. For all models, analytical results and numerical examples are given in order to demonstrate managerial insights

Variety Steering Concept for Mass Customization

In this paper we make the distinction between subjective and objective customer needs. The subjective needs are the individually realized and articulated requirements, whereas the objective needs are the real ones perceived by a fictive neutral perspective. We show that variety in mass customization has to be orientated on the objective needs. In order to help mass customizers better evaluate the degree to which they can fulfill the objective needs as well as their internal complexity level we have developed a key metrics system model. We also present a conceptual application showing how to use this model to support decision making related to the introduction or reduction of product variants.Variety Management; Complexity; Production/Operations Management

Market Segmentation in the 21st Century: Discrete Solutions to Continuous Problems

Market segments exist because of information and cost constraints If manufacturers had accurate individual-level demand information and the ability to produce and deliver unique products at low cost, then individual customization of products would be a viable market strategy But as uncertainty about consumer demand increases and/or the cost of customization increases, firms find it more profitable to reduce the variety of the products they offer This paper reports on a critical examination of trends in the analysis of customer data and in reductions in the cost of customization brought about by innovations such as the Internet and flexible manufacturing systems We conclude that recent trends are not sufficient to support individual customization in most product categories However, despite the inability of these trends to support individual customization, we predict several changes In the dimensions surrounding successful segmentation strategies that will be used by firms in the future